Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Department of Computer Engineering (English)
  • Course Structure Diagram with Credits
  • Data Structures and Algorithms
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİM213 - Data Structures and Algorithms
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+2
ECTS 5.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ SELCAN KAPLAN BERKAYA
Mode of Delivery The mode of delivery of this course is face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended Computer Programming I-II
Recommended Reading List Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2022). Introduction to algorithms. MIT press.
Assessment methods and criteria  1 Midterm Exam, 1 Final Exam, Homeworks, Project, Quizzes.   2 midterms, 1 final
Work Placement Students are required to do 2 projects
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Data Structures. Algorithm Analysis Techniques. Asymptotic Notations
Week - 2 Arrays and Simple Sorting Algoritms: Bubble Sort, Selection Sort, Insertion Sort
Week - 3 Recursive Algoritm Design and Analysis
Week - 4 Abstract Data Types Arrays and Contiguous Allocation
Week - 5 Linked Lists and Dynamic Allocation
Week - 6 Linked Lists
Week - 7 Stacks and Queues
Week - 8 Application of Stacks and Queues: Expression Evaluation
Week - 9 Introduction to Trees, Binary Trees - Representation and Traversal
Week - 10 Binary Search Trees
Week - 11 AVL Trees
Week - 12 Splay Trees
Week - 13 B-Trees
Week - 14 Hash Table

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Problem solving
  • Elementary computing skills
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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